Mark Hepple

1.9k citations
77 papers · 1.4k · h-index 19

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Machine Learning in Healthcare
    • Syntax, Semantics, Linguistic Variation

Papers in

    • Natural Language Processing Techniques 41
    • Topic Modeling 8
    • Sentiment Analysis and Opinion Mining 7
    • Advanced Text Analysis Techniques 6
    • Logic, Reasoning, and Knowledge 6
    • Logic, programming, and type systems 5
    • Syntax, Semantics, Linguistic Variation 18

Mark Hepple

75 papers receiving 1.3k citations

Peers

Mark Hepple
Comparison fields: 5 of 60
  • Artificial Intelligence 957
  • Language and Linguistics 188
  • Molecular Biology 338
  • General Social Sciences 20
  • Information Systems 119
Replace Yuka Tateisi with:
Yuka Tateisi Japan
Andrea Setzer United Kingdom
Mariana Neves Germany
György Szarvas Hungary
Richárd Farkas Hungary
Diego Mollá Australia
Fei Xia United States
Goran Topić Japan
Sabine Bergler Canada
Vincent Claveau France
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Citations per field
00.5×2×3×4×4.6×
Yuka Tateisi · 1×
Citations per year

Countries citing papers authored by Mark Hepple

Since Specialization
Citations

This map shows the geographic impact of Mark Hepple's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Hepple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hepple more than expected).

Fields of papers citing papers by Mark Hepple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Hepple. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Hepple. The network helps show where Mark Hepple may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Hepple, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Hepple Line = papers co-authored together Mark Hepple links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007236
2 2009124
3
The CLEF corpus: semantic annotation of clinical text.
200795
4 200089
5 200978
6
The grammar and processing of order and dependency : a categorial approach
199065
7 201645
8 200840
9 200834
10 199833
11 198932
12 200829
13
The University of Sheffield's TREC 2005 Q&A Experiments.
200526
14
CLEF: joining up healthcare with clinical and post-genomic research
200325
15 200523
16 200522
17 201622
18 199120
19
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
201019
20 199318

About Mark Hepple

Mark Hepple is a scholar working on Artificial Intelligence, Language and Linguistics, Health Information Management, Information Systems and Molecular Biology, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (41 papers), Syntax, Semantics, Linguistic Variation (18 papers), Biomedical Text Mining and Ontologies (8 papers), Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (6 papers), Logic, Reasoning, and Knowledge (6 papers) and Logic, programming, and type systems (5 papers). The work is most often cited by research in Artificial Intelligence (957 citations), Language and Linguistics (188 citations), Molecular Biology (338 citations), General Social Sciences (20 citations) and Information Systems (119 citations). Mark Hepple has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Robert Gaizauskas, Angus Roberts, James D. Pustejovsky, Marc Verhagen, Frank Schilder, Yikun Guo, Andrea Setzer, Graham Katz, Ian G. Roberts and George Demetriou. Their work appears in journals such as Language Resources and Evaluation, BMC Bioinformatics, Information Processing & Management, ACM SIGIR Forum and Computer Speech & Language.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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